Intelligent early warning and notification method and system for secondary water supply system and medium

Abstract

The invention provides an intelligent early warning and notification method and system for a secondary water supply system and a medium. The method comprises the steps that water pump operation parameter data and pipeline operation parameter data in a preset time period are obtained and processed respectively, water supply water pump health data and pipeline stability evaluation data are obtained, and then water supply capacity detection data are obtained; processing is carried out according to the water supply pump health data, the pipeline stability evaluation data and the water supply capacity detection data, operation state verification data of the secondary water supply system are obtained, threshold comparison is carried out on the operation state verification data and a preset water supply system state evaluation threshold, and the operation state of the secondary water supply system is obtained. Obtaining an early warning level and a corresponding notification strategy according to the operation state, and outputting an early warning response through a preset notification method; according to the method, the water supply pump health data, the pipeline stability evaluation data and the water supply capacity detection data are calculated and compared with the threshold values, so that the intelligence of early warning and notification is improved.

Description

Technical Field

[0001] The present application relates to the technical field of secondary water supply, and in particular to an intelligent early warning and notification method, system and medium for a secondary water supply system. Background Art

[0002] With the continuous advancement of urbanization, the number of high-rise buildings is increasing, and the secondary water supply system plays a vital role in the urban water supply system. At present, the traditional secondary water supply system faces many problems in the operation and management process. For example, there is a lack of real-time and effective monitoring means in water quality monitoring, pressurized storage, water pipelines, etc. In terms of fault warning and notification, the existing secondary water supply systems mostly rely on manual inspections and experience judgments, and lack intelligent early warning mechanisms. When the secondary water supply system has equipment failures, abnormal water quality, or sudden changes in pressure and flow, etc., the early warning notification cannot be issued in time, resulting in a long maintenance response time, affecting the reliability and stability of the water supply; therefore, the secondary water supply system urgently needs an intelligent early warning and notification method to improve the operation efficiency, water quality safety and management level of the secondary water supply system.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of this application is to provide an intelligent early warning and notification method, system and medium for a secondary water supply system, which can improve the intelligence of early warning and notification by comparing the calculation and threshold of water supply pump health data, pipeline stability assessment data and water supply capacity detection data.

[0005] The present application also provides an intelligent early warning and notification method for a secondary water supply system, comprising the following steps: Obtaining water pump operating parameter data and pipeline operating parameter data within a preset time period of the secondary water supply system; Processing the water pump operating parameter data to obtain water supply pump health data, and processing the pipeline operating parameter data to obtain pipeline stability assessment data; Acquire water supply capacity detection data, and process the water supply pump health data and pipeline stability assessment data in combination with the water supply capacity detection data to obtain operation status verification data of the secondary water supply system; The operating status verification data is compared with the preset water supply system status assessment threshold to obtain the operating status of the secondary water supply system, obtain the warning level and the corresponding notification strategy according to the operating status, and output the warning response through the preset notification method.

[0006] Optionally, in the intelligent early warning and notification method for a secondary water supply system described in the present application, the processing according to the water pump operation parameter data to obtain water supply pump health data, and the processing according to the pipeline operation parameter data to obtain pipeline stability assessment data include: The water pump operation parameter data includes the speed fluctuation mean, amplitude mean and temperature fluctuation mean of the water pump; Inputting the speed fluctuation mean, amplitude mean and temperature fluctuation mean into a preset water supply pump health assessment model for processing to obtain water supply pump health data; The pipeline operation parameter data includes the mean value of water pressure fluctuation and the mean value of flow fluctuation within a preset range; The water pressure fluctuation mean value and the flow rate fluctuation mean value are input into a preset pipeline stability assessment model for processing to obtain pipeline stability assessment data.

[0007] Optionally, in the intelligent early warning and notification method for the secondary water supply system described in the present application, the water supply capacity detection data is obtained, and the operation status verification data of the secondary water supply system is obtained by processing the water supply pump health data and the pipeline stability assessment data in combination with the water supply capacity detection data, including: Obtain water supply capacity detection data, including the average water supply pressure fluctuation and the average water supply flow fluctuation at the water pump outlet within a preset time period, and the corresponding average pressure deviation and average flow deviation of the user node; Inputting the water supply pressure fluctuation mean, water supply flow fluctuation mean, pressure deviation mean and flow deviation mean into a preset water supply capacity evaluation model for processing to obtain water supply capacity detection data; The water supply pump health data, pipeline stability assessment data and water supply capacity detection data are input into a preset secondary water supply system operation status assessment model for processing to obtain the operation status verification data of the secondary water supply system.

[0008] Optionally, in the intelligent early warning and notification method for the secondary water supply system described in the present application, the operation status verification data is compared with a preset water supply system status assessment threshold to obtain the operation status of the secondary water supply system, the early warning level and the corresponding notification strategy are obtained according to the operation status, and an early warning response is output through a preset notification method, including: Comparing the running state verification data with preset running state standard verification data to obtain a running state relative value; Performing a threshold comparison between the relative value of the operating status and a preset water supply system status assessment threshold; If it is less than or equal to the first preset water supply system status assessment threshold, the secondary water supply system operation status is abnormal; If it is an abnormal state, it corresponds to a high-risk level, and outputs a fault warning to the operation and maintenance personnel and the management terminal for response through the preset notification method; If it is greater than the first preset water supply system status assessment threshold and less than or equal to the second preset water supply system status assessment threshold, the secondary water supply system operation status is a suspected abnormal state; If it is a suspected abnormal state, it corresponds to a low-risk level, and outputs an operation and maintenance warning to the operation and maintenance personnel for response through the preset notification method; If it is greater than the second preset water supply system status assessment threshold, and the secondary water supply system is operating normally, no warning processing will be performed.

[0009] Optionally, the intelligent early warning and notification method for the secondary water supply system described in the present application further includes: Obtaining water usage increment change information within a preset time period of the secondary water supply system, and extracting water usage increment data based on the water usage increment change information; Obtain the historical average water consumption of the secondary water supply system in the same period of time; Obtain water volume data and rated water replenishment volume data of water storage tanks; The water volume drop rate of the water tank is obtained by processing the water volume increment data, the water volume data of the water storage tank and the rated water replenishment volume data in combination with the historical water volume average; Comparing the water volume drop rate of the water storage tank with a preset water tank volume consumption rate threshold; If it is less than the preset water tank inventory consumption rate threshold, no processing will be performed; If it is greater than or equal to the preset water tank inventory consumption rate threshold, an insufficient water storage warning is output to the operation and maintenance personnel, and the backup pump water supply response is started.

[0010] Optionally, the intelligent early warning and notification method for the secondary water supply system described in the present application further includes: Obtain the real-time average temperature and real-time average humidity of the secondary water supply system pump room within a preset time period; The real-time temperature mean value and the real-time humidity mean value are compared with the preset standard temperature mean value and the standard humidity mean value respectively to obtain the real-time temperature deviation rate and the real-time humidity deviation rate; Inputting the real-time temperature deviation rate and the real-time humidity deviation rate into a preset environmental suitability assessment model for processing to obtain environmental deviation assessment data; Performing a threshold comparison between the environmental deviation evaluation data and a preset environmental deviation threshold; If it is less than or equal to the preset environmental deviation threshold, no processing will be performed; If it is greater than the preset environmental deviation threshold, an environmental imbalance warning is output to the operation and maintenance personnel, and the environmental treatment equipment response is started.

[0011] In a second aspect, the present application provides an intelligent early warning and notification system for a secondary water supply system, the system comprising: a memory and a processor, the memory comprising a program of an intelligent early warning and notification method for a secondary water supply system, the program of the intelligent early warning and notification method for a secondary water supply system when executed by the processor implements the following steps: Obtaining water pump operating parameter data and pipeline operating parameter data within a preset time period of the secondary water supply system; Processing the water pump operating parameter data to obtain water supply pump health data, and processing the pipeline operating parameter data to obtain pipeline stability assessment data; Acquire water supply capacity detection data, and process the water supply pump health data and pipeline stability assessment data in combination with the water supply capacity detection data to obtain operation status verification data of the secondary water supply system; The operating status verification data is compared with the preset water supply system status assessment threshold to obtain the operating status of the secondary water supply system, obtain the warning level and the corresponding notification strategy according to the operating status, and output the warning response through the preset notification method.

[0012] Optionally, in the intelligent early warning and notification system for a secondary water supply system described in the present application, the processing according to the water pump operation parameter data to obtain the water supply pump health data, and the processing according to the pipeline operation parameter data to obtain the pipeline stability assessment data include: The water pump operation parameter data includes the speed fluctuation mean, amplitude mean and temperature fluctuation mean of the water pump; Inputting the speed fluctuation mean, amplitude mean and temperature fluctuation mean into a preset water supply pump health assessment model for processing to obtain water supply pump health data; The pipeline operation parameter data includes the mean value of water pressure fluctuation and the mean value of flow fluctuation within a preset range; The water pressure fluctuation mean value and the flow rate fluctuation mean value are input into a preset pipeline stability assessment model for processing to obtain pipeline stability assessment data.

[0013] Optionally, in the intelligent early warning and notification system for a secondary water supply system described in the present application, the water supply capacity detection data is obtained, and the operation status verification data of the secondary water supply system is obtained by processing the water supply pump health data and the pipeline stability assessment data in combination with the water supply capacity detection data, including: Obtain water supply capacity detection data, including the average water supply pressure fluctuation and the average water supply flow fluctuation at the water pump outlet within a preset time period, and the corresponding average pressure deviation and average flow deviation of the user node; Inputting the water supply pressure fluctuation mean, water supply flow fluctuation mean, pressure deviation mean and flow deviation mean into a preset water supply capacity evaluation model for processing to obtain water supply capacity detection data; The water supply pump health data, pipeline stability assessment data and water supply capacity detection data are input into a preset secondary water supply system operation status assessment model for processing to obtain the operation status verification data of the secondary water supply system.

[0014] In the third aspect, the present application also provides a computer-readable storage medium, which stores a secondary water supply system intelligent early warning and notification method program. When the secondary water supply system intelligent early warning and notification method program is executed by a processor, the steps of the secondary water supply system intelligent early warning and notification method as described in any one of the above items are implemented.

[0015] From the above, it can be seen that the intelligent early warning and notification method, system and medium for a secondary water supply system provided in the present application improve the intelligence of the early warning and notification by comparing the calculation and threshold of the water supply pump health data, pipeline stability assessment data and water supply capacity detection data.

[0016] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flow chart of an intelligent early warning and notification method for a secondary water supply system provided in an embodiment of the present application; Figure 2 A flow chart of obtaining water supply pump health data and pipeline stability assessment data of a secondary water supply system intelligent early warning and notification method provided in an embodiment of the present application; Figure 3 A flowchart of obtaining operating status verification data of a secondary water supply system in an intelligent early warning and notification method for a secondary water supply system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0020] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0021] Please refer to Figure 1 , Figure 1 This is a flow chart of a secondary water supply system intelligent early warning and notification method in some embodiments of the present application. The secondary water supply system intelligent early warning and notification method is used in terminal devices, such as computers, mobile phone terminals, etc. The secondary water supply system intelligent early warning and notification method includes the following steps: S11, obtaining water pump operation parameter data and pipeline operation parameter data within a preset time period of the secondary water supply system; S12, processing the water pump operation parameter data to obtain water supply pump health data, and processing the pipeline operation parameter data to obtain pipeline stability assessment data; S13, obtaining water supply capacity detection data, and processing the water supply capacity detection data according to the water supply pump health data and pipeline stability assessment data to obtain the operating status verification data of the secondary water supply system; S14. Compare the operating status verification data with the preset water supply system status assessment threshold to obtain the operating status of the secondary water supply system, obtain the warning level and the corresponding notification strategy according to the operating status, and output the warning response through the preset notification method.

[0022] It should be noted that in order to realize real-time monitoring of the secondary water supply system and ensure timely early warning and processing after abnormal operation occurs, the water pump operating parameter data and pipeline operating parameter data within a preset time period are first obtained. In this embodiment, the preset time period is set to 10 minutes, and the water pump operating parameter data is processed to obtain the water supply pump health data, and the pipeline operating parameter data is processed to obtain the pipeline stability assessment data. Then, the obtained water supply capacity detection data is combined for processing to obtain the operating status verification data of the secondary water supply system. Finally, the operating status of the secondary water supply system is obtained through threshold comparison, and the warning level and corresponding notification strategy are obtained according to the operating status. The warning response is output through the preset notification method, thereby realizing real-time monitoring of the secondary water supply system and improving the intelligence of warning and notification.

[0023] Please refer to Figure 2 , Figure 2 The present invention is a flowchart of a method for obtaining water supply pump health data and pipeline stability assessment data in a secondary water supply system intelligent early warning and notification method in some embodiments of the present application. According to an embodiment of the present invention, the water supply pump health data is obtained by processing the water pump operation parameter data, and the pipeline stability assessment data is obtained by processing the pipeline operation parameter data, including: S21, the water pump operation parameter data includes the speed fluctuation mean, amplitude mean and temperature fluctuation mean of the water pump; S22, inputting the speed fluctuation mean, amplitude mean and temperature fluctuation mean into a preset water supply pump health assessment model for processing to obtain water supply pump health data; S23, the pipeline operation parameter data includes the mean value of water pressure fluctuation and the mean value of flow fluctuation within a preset range; S24, inputting the water pressure fluctuation mean value and the flow rate fluctuation mean value into a preset pipeline stability assessment model for processing to obtain pipeline stability assessment data.

[0024] It should be noted that the water pump and pipeline are important components of the secondary water supply system. First, the water pump operation parameter data including the speed fluctuation mean, amplitude mean and temperature fluctuation mean within a preset time period are obtained, wherein the speed fluctuation mean is obtained by averaging the absolute values ​​of the differences between multiple water pump speeds collected by the preset sensor within the preset time period and the preset standard speed, the amplitude mean is obtained by averaging the multiple water pump vibration amplitudes collected by the preset sensor within the preset time period, and the temperature fluctuation mean is obtained by averaging the absolute values ​​of the differences between multiple water pump real-time temperatures collected by the preset sensor within the preset time period and the preset standard temperature, and then calculating the average. The water supply pump health data is obtained by inputting it into a preset water supply pump health assessment model for processing, and then the pipeline operation parameter data including the water pressure fluctuation mean and the flow rate fluctuation mean within a preset time period and a preset range are obtained. The pipeline operation parameter data is input into a preset pipeline stability assessment model for processing to obtain the pipeline stability assessment data, wherein the water supply pump health assessment model is obtained by training by obtaining the speed fluctuation mean, amplitude mean and temperature fluctuation mean of a large number of historical samples and the corresponding water supply pump health data, and the pipeline stability assessment model is obtained by training by obtaining the water pressure fluctuation mean and flow rate fluctuation mean of a large number of historical samples and the corresponding pipeline stability assessment data.

[0025] Please refer to Figure 3 , Figure 3 The present invention is a flowchart of obtaining the operating status verification data of the secondary water supply system in a secondary water supply system intelligent early warning and notification method in some embodiments of the present application. According to an embodiment of the present invention, the water supply capacity detection data is obtained, and the operating status verification data of the secondary water supply system is obtained by processing the water supply pump health data and the pipeline stability assessment data in combination with the water supply capacity detection data, including: S31, obtaining water supply capacity detection data, including the average water supply pressure fluctuation and the average water supply flow fluctuation at the water pump outlet within a preset time period and the corresponding pressure deviation and flow deviation of the user node; S32, inputting the water supply pressure fluctuation mean, water supply flow fluctuation mean, pressure deviation mean and flow deviation mean into a preset water supply capacity evaluation model for processing to obtain water supply capacity detection data; S33, inputting the water supply pump health data, pipeline stability assessment data and water supply capacity detection data into a preset secondary water supply system operation status assessment model for processing, and obtaining the operation status verification data of the secondary water supply system.

[0026] It should be noted that the water supply stability of the water pump and the water use stability felt by the user reflect the water supply capacity of the secondary water supply system. In order to accurately evaluate the water supply capacity of the secondary water supply system, firstly, the mean value of the water supply pressure fluctuation and the mean value of the water supply flow fluctuation within the preset time period at the water outlet of the water pump and the corresponding mean pressure deviation and mean flow deviation of the user node are obtained. In this embodiment, the preset time period is set to 10 minutes, wherein the mean value of the water supply pressure fluctuation and the mean water supply flow fluctuation are obtained by collecting multiple values ​​within the preset time period by the sensor preset at the water outlet of the water pump, and then averaging the absolute value of the difference between the values ​​and the preset standard value. The pressure deviation mean and flow deviation mean of the user node are obtained by collecting multiple values ​​from the sensor preset at the user's home terminal within a preset time period, and then averaging the absolute values ​​of the differences between the values ​​and the preset standard values. The obtained water supply pressure fluctuation mean, water supply flow fluctuation mean, pressure deviation mean and flow deviation mean are input into the preset water supply capacity evaluation model for processing to obtain water supply capacity detection data, wherein the water supply capacity evaluation model is obtained by obtaining a large number of historical samples of water supply pressure fluctuation mean, water supply flow fluctuation mean, pressure deviation mean and flow deviation mean and corresponding water supply capacity detection data for training; The obtained water supply pump health data, pipeline stability assessment data and water supply capacity detection data are input into a preset secondary water supply system operation status assessment model for processing to obtain the operation status verification data of the secondary water supply system, wherein the secondary water supply system operation status assessment model is trained by acquiring a large number of historical samples of water supply pump health data, pipeline stability assessment data and water supply capacity detection and corresponding operation status verification data.

[0027] According to an embodiment of the present invention, the operation status verification data is compared with a preset water supply system status assessment threshold to obtain the operation status of the secondary water supply system, an early warning level and a corresponding notification strategy are obtained according to the operation status, and an early warning response is output through a preset notification method, including: Comparing the running state verification data with preset running state standard verification data to obtain a running state relative value; Performing a threshold comparison between the relative value of the operating status and a preset water supply system status assessment threshold; If it is less than or equal to the first preset water supply system status assessment threshold, the secondary water supply system operation status is abnormal; If it is an abnormal state, it corresponds to a high-risk level, and outputs a fault warning to the operation and maintenance personnel and the management terminal for response through the preset notification method; If it is greater than the first preset water supply system status assessment threshold and less than or equal to the second preset water supply system status assessment threshold, the secondary water supply system operation status is a suspected abnormal state; If it is a suspected abnormal state, it corresponds to a low-risk level, and outputs an operation and maintenance warning to the operation and maintenance personnel for response through the preset notification method; If it is greater than the second preset water supply system status assessment threshold, and the secondary water supply system is operating normally, no warning processing will be performed.

[0028] It should be noted that the obtained operation status verification data is compared with the preset operation status standard verification data to obtain the operation status relative value. For example, the obtained operation status verification data is 3, and the preset operation status standard verification data is 10, then 3 / 10=0.3 is the operation status relative value. The obtained operation status relative value is compared with the preset water supply system status assessment threshold. In this embodiment, the water supply system status assessment threshold is set to (0, 0.3], (0.3, 0.7], (0.7, 1], corresponding to abnormal state, suspected abnormal state, and normal state, respectively. For example, if the obtained operation status relative value is 0.3, it corresponds to an abnormal state, which corresponds to a high-risk level, and a fault warning is output to the operation and maintenance personnel and the management terminal for response through a preset notification method; if the obtained operation status relative value is 0.5, it corresponds to a suspected abnormal state, which corresponds to a low-risk level, and an operation and maintenance warning is output to the operation and maintenance personnel for response through a preset notification method; if the obtained operation status relative value is 0.8, no warning processing is performed for the normal state, wherein the preset notification method includes management platform display, SMS display, or voice call notification.

[0029] According to an embodiment of the present invention, it also includes: Obtaining water usage increment change information within a preset time period of the secondary water supply system, and extracting water usage increment data based on the water usage increment change information; Obtain the historical average water consumption of the secondary water supply system in the same period of time; Obtain water volume data and rated water replenishment volume data of water storage tanks; The water volume drop rate of the water tank is obtained by processing the water volume increment data, the water volume data of the water storage tank and the rated water replenishment volume data in combination with the historical water volume average; Comparing the water volume drop rate of the water storage tank with a preset water tank volume consumption rate threshold; If it is less than the preset water tank inventory consumption rate threshold, no processing will be performed; If it is greater than or equal to the preset water tank inventory consumption rate threshold, an insufficient water storage warning is output to the operation and maintenance personnel, and the backup pump water supply response is started.

[0030] It should be noted that when water users corresponding to the secondary water supply system have temporary incremental water demand, it is necessary to evaluate in advance whether the water supply is sufficient to avoid affecting the user's water experience. First, the incremental water use change information within the preset time period is obtained, and the incremental water use data is extracted based on the incremental water use change information. Then, the historical water consumption average of the same period of history is obtained, among which the water volume data of the water storage tank refers to the water storage volume corresponding to the start time of the preset time period, and the rated water replenishment volume data refers to the total water volume entering the water tank within the preset time period. The historical water consumption average is obtained by obtaining the water consumption of multiple historical same time periods and then calculating the average. Finally, the water volume data of the water storage tank and the rated water replenishment volume data are obtained, and the obtained incremental water use data, water volume data of the water storage tank and the rated water replenishment volume data are processed in combination with the historical water use average to obtain the water volume decline rate of the water storage tank; The calculation formula for the water volume drop rate of the water storage tank is: ; in, is the water volume drop rate in the water storage tank, , , , They are water consumption increment data, water volume data in water storage tanks, rated water replenishment data and historical water consumption average; The obtained water tank water level drop rate is compared with the preset water tank stock consumption rate threshold. In this embodiment, the water tank stock consumption rate threshold is set to (0, 0.4], (0.4, 1], corresponding to no processing and outputting insufficient water storage warning. For example, if the obtained water tank water level drop rate is 0.2, no processing is performed. If the obtained water tank water level drop rate is 0.5, an insufficient water storage warning is output to the operation and maintenance personnel, and the standby pump is started to supply water in response.

[0031] According to an embodiment of the present invention, it also includes: Obtain the real-time average temperature and real-time average humidity of the secondary water supply system pump room within a preset time period; The real-time temperature mean value and the real-time humidity mean value are compared with the preset standard temperature mean value and the standard humidity mean value respectively to obtain the real-time temperature deviation rate and the real-time humidity deviation rate; Inputting the real-time temperature deviation rate and the real-time humidity deviation rate into a preset environmental suitability assessment model for processing to obtain environmental deviation assessment data; Performing a threshold comparison between the environmental deviation evaluation data and a preset environmental deviation threshold; If it is less than or equal to the preset environmental deviation threshold, no processing will be performed; If it is greater than the preset environmental deviation threshold, an environmental imbalance warning is output to the operation and maintenance personnel, and the environmental treatment equipment response is started.

[0032] It should be noted that the pump room of the secondary water supply system is generally located on the first floor below ground or in a relatively closed environment. Appropriate temperature and humidity are important for the normal operation of the system. In order to ensure that the system works in a suitable temperature and humidity environment, it is necessary to monitor the operating environment in real time. First, the real-time temperature average and real-time humidity average within a preset time period of the pump room of the secondary water supply system are obtained. The real-time temperature average and real-time humidity average are obtained by averaging the detection values ​​obtained by multiple sensors pre-installed at different positions. The obtained real-time temperature average and real-time humidity average are compared with the preset standard temperature average and standard humidity average, respectively, to obtain the real-time temperature deviation rate and real-time humidity deviation rate; The calculation formulas for the real-time temperature deviation rate and the real-time humidity deviation rate are as follows: ; ; in, is the real-time temperature deviation rate, , are the real-time temperature mean and the standard temperature mean, is the real-time humidity deviation rate, , They are real-time humidity mean and standard humidity mean respectively; The obtained real-time temperature deviation rate and real-time humidity deviation rate are input into a preset environmental suitability assessment model for processing to obtain environmental deviation assessment data, wherein the environmental suitability assessment model is trained by obtaining a large number of historical samples of real-time temperature deviation rates and real-time humidity deviation rates and corresponding environmental deviation assessment data; The obtained environmental deviation evaluation data is compared with the preset environmental deviation threshold. In this embodiment, the environmental deviation threshold is set to (0, 0.35] and (0.35, 1], respectively corresponding to no processing and outputting environmental imbalance warning. For example, if the obtained environmental deviation evaluation data is 0.2, no processing is performed. If the obtained environmental deviation evaluation data is 0.4, an environmental imbalance warning is output to the operation and maintenance personnel, and the environmental processing equipment response is started. The environmental processing equipment includes air conditioners and dehumidifiers.

[0033] It is worth mentioning that according to an embodiment of the present invention, it also includes: Obtain water quality parameter data of the secondary water supply system, including turbidity data, total bacteria data, trihalomethane content data and residual chlorine content data; The turbidity data, total bacteria data, trihalomethane content data and residual chlorine content data are respectively compared with the corresponding preset water quality parameter standard data to obtain the turbidity deviation rate, total bacteria deviation rate, trihalomethane deviation rate and residual chlorine deviation rate; The turbidity deviation rate, the total bacteria deviation rate, the trihalomethane deviation rate and the residual chlorine deviation rate are input into a preset water quality inspection and evaluation model for processing to obtain water quality inspection data; Performing a threshold comparison between the water quality test data and a preset water quality test assessment threshold; If it is less than or equal to the first preset water quality inspection assessment threshold, no processing is performed; If it is greater than the first preset water quality inspection assessment threshold and less than or equal to the second preset water quality inspection assessment threshold, an early warning is output to the operation and maintenance personnel and the management terminal for response; If it is greater than the second preset water quality inspection assessment threshold, an early warning is output to the operation and maintenance personnel, the management terminal and the user end for response.

[0034] It should be noted that in the secondary water supply system, water quality is susceptible to changes due to various factors. In order to ensure the health of users' water, water quality parameter data including turbidity data, total bacteria data, trihalomethane content data and residual chlorine content data are first obtained, the obtained data are preprocessed, and values ​​less than the corresponding standard data are eliminated. Then, the data are compared with the corresponding preset water quality parameter standard data to obtain turbidity deviation rate, total bacteria deviation rate, trihalomethane deviation rate and residual chlorine deviation rate. The obtained turbidity deviation rate, total bacteria deviation rate, trihalomethane deviation rate and residual chlorine deviation rate are input into the preset water quality inspection and evaluation model for processing to obtain water quality verification data, wherein the water quality verification data is used to evaluate the deviation of real-time water quality from the standard. The water quality inspection and evaluation model is obtained by obtaining the turbidity deviation rate, total bacteria deviation rate, trihalomethane deviation rate and residual chlorine deviation rate of a large number of historical samples and the corresponding water quality verification data for training; The obtained water quality inspection data is compared with the preset water quality inspection assessment threshold. In this embodiment, the water quality inspection assessment threshold is set to (0, 0.3], (0.3, 0.5], (0.5, 1], corresponding to no processing, outputting an early warning to the operation and maintenance personnel and the management terminal for response, and outputting an early warning to the operation and maintenance personnel and the management terminal and the user end for response, respectively; for example, if the obtained water quality inspection data is 0.2, no processing is performed; if the obtained water quality inspection data is 0.4, an early warning is output to the operation and maintenance personnel and the management terminal for response; if the obtained water quality inspection data is 0.55, an early warning is output to the operation and maintenance personnel and the management terminal and the user end for response, reminding the user to suspend water use.

[0035] It is worth mentioning that according to an embodiment of the present invention, it also includes: Obtaining the primary water supply operation parameter data within a preset range of the secondary water supply system, including the primary water supply pressure fluctuation mean and the primary water supply flow fluctuation mean within a preset time period; Inputting the initial water supply pressure fluctuation mean value and the initial water supply flow fluctuation mean value into a preset water supply stability evaluation model for processing to obtain water supply stability evaluation data; Performing a threshold comparison between the water supply stability assessment data and a preset water supply stability detection threshold; If it is less than or equal to the preset water supply stability detection threshold, no processing will be performed; If it is greater than the preset water supply stability detection threshold, an early warning is output to the operation and maintenance personnel, and the water pump shutdown response is activated.

[0036] It should be noted that the water supply on the secondary water supply inlet side is crucial to the stable operation of the system, especially the operation of the water pump. Therefore, accurate monitoring and evaluation should be carried out. First, the initial water supply operation parameter data including the initial water supply pressure fluctuation mean and the initial water supply flow fluctuation mean within a preset time period are obtained. Among them, the initial water supply pressure fluctuation mean and the initial water supply flow fluctuation mean refer to the absolute values ​​of the differences between multiple initial water supply pressure values ​​and initial water supply flow values ​​obtained by preset sensors and the corresponding standard values, and then averaged. The initial water supply pressure fluctuation mean and the initial water supply flow fluctuation mean are input into the preset water supply stability evaluation model for processing to obtain water supply stability evaluation data, among which the water supply stability evaluation The model is obtained by training a large number of historical samples of the initial water supply pressure fluctuation mean and the initial water supply flow fluctuation mean and the corresponding water supply stability assessment data; the obtained water supply stability assessment data is compared with the preset water supply stability detection threshold. In this embodiment, the water supply stability detection threshold is set to (0, 0.2], (0.2, 1], corresponding to no processing, outputting an early warning to the operation and maintenance personnel, and activating a water pump shutdown response; for example, if the obtained water supply stability assessment data is 0.15, no processing is performed. If the obtained water supply stability assessment data is 0.25, an early warning is output to the operation and maintenance personnel, and the water pump is activated to shut down to prevent damage to the water pump due to pressure loss and unstable flow.

[0037] It is worth mentioning that according to an embodiment of the present invention, it also includes: Obtain the average fluctuation value, response time value and signal strength value of the sensor within a preset time period of the secondary water supply system; Inputting the monitoring value fluctuation mean, response time mean and signal strength mean into a preset sensor reliability assessment model for processing to obtain reliability assessment data corresponding to the sensor; Performing a threshold comparison between the reliability evaluation data and a preset sensor effectiveness threshold; If it is greater than the preset sensor effectiveness threshold, no processing will be performed; If it is less than or equal to the preset sensor effectiveness threshold, a sensor effectiveness warning is output to the operation and maintenance personnel for response.

[0038] It should be noted that in the secondary water supply system, the control system is particularly important, and the control system relies on a large number of sensors to collect real-time data. The reliability of the sensors needs to be paid special attention to. Therefore, firstly, the monitoring value fluctuation mean, response time mean and signal strength mean of the sensors in the preset time period of the secondary water supply system are obtained, wherein the monitoring value fluctuation mean refers to the absolute value of the difference between multiple real-time monitoring values ​​of the sensor and the preset standard value in the preset time period, and then the average is obtained. The obtained monitoring value fluctuation mean, response time mean and signal strength mean are input into the preset sensor reliability evaluation model for processing to obtain the corresponding reliability evaluation data of the sensor, wherein the sensor reliability The reliability assessment model is obtained by training with the monitoring value fluctuation mean, response time mean and signal strength mean of a large number of historical samples and the corresponding reliability assessment data; the obtained reliability assessment data is compared with the preset sensor effectiveness threshold. In this embodiment, the sensor effectiveness threshold is set to (0, 0.4], (0.4, 1], corresponding to no processing and outputting sensor effectiveness warning to the operation and maintenance personnel for response, respectively. For example, if the obtained reliability assessment data is 0.3, no processing is performed. If the obtained reliability assessment data is 0.5, a sensor effectiveness warning is output to the operation and maintenance personnel for response, so as to detect whether the sensor is abnormal and prevent the collection of erroneous data.

[0039] It is worth mentioning that according to an embodiment of the present invention, it also includes: Get the duration data of unprocessed warning information; Performing a threshold comparison between the duration data and a preset duration threshold; If it is less than or equal to the preset duration threshold, no processing will be performed; If it is greater than the preset time threshold, an early warning message will be output to higher-level operation and maintenance personnel for response.

[0040] It should be noted that when a fault occurs in the secondary water supply system and an early warning message is output, if the operation and maintenance personnel fail to handle it in time, it may cause a more serious accident. Therefore, it is necessary to follow up on the early warning processing in time. First, the duration data of the unprocessed early warning message is obtained and compared with the preset duration threshold. In this embodiment, the duration threshold is set to 10 minutes, and the duration threshold is adjusted according to the specific early warning situation. For example, if the acquired duration data is less than 5 minutes, no processing is performed. If the acquired duration data is less than 11 minutes, the early warning message is output to a higher-level operation and maintenance personnel for response to ensure that the early warning information is processed in a timely manner.

[0041] The present invention also discloses an intelligent early warning and notification system for a secondary water supply system, comprising a memory and a processor, wherein the memory comprises an intelligent early warning and notification method program for a secondary water supply system, and when the intelligent early warning and notification method program for a secondary water supply system is executed by the processor, the following steps are implemented: Obtaining water pump operating parameter data and pipeline operating parameter data within a preset time period of the secondary water supply system; Processing the water pump operating parameter data to obtain water supply pump health data, and processing the pipeline operating parameter data to obtain pipeline stability assessment data; Acquire water supply capacity detection data, and process the water supply pump health data and pipeline stability assessment data in combination with the water supply capacity detection data to obtain operation status verification data of the secondary water supply system; The operating status verification data is compared with the preset water supply system status assessment threshold to obtain the operating status of the secondary water supply system, obtain the warning level and the corresponding notification strategy according to the operating status, and output the warning response through the preset notification method.

[0042] It should be noted that in order to realize real-time monitoring of the secondary water supply system and ensure timely early warning and processing after abnormal operation occurs, the water pump operating parameter data and pipeline operating parameter data within a preset time period are first obtained. In this embodiment, the preset time period is set to 10 minutes, and the water pump operating parameter data is processed to obtain the water supply pump health data, and the pipeline operating parameter data is processed to obtain the pipeline stability assessment data. Then, the obtained water supply capacity detection data is combined for processing to obtain the operating status verification data of the secondary water supply system. Finally, the operating status of the secondary water supply system is obtained through threshold comparison, and the warning level and corresponding notification strategy are obtained according to the operating status. The warning response is output through the preset notification method, thereby realizing real-time monitoring of the secondary water supply system and improving the intelligence of warning and notification.

[0043] According to an embodiment of the present invention, the processing according to the water pump operating parameter data to obtain water supply pump health data, and the processing according to the pipeline operating parameter data to obtain pipeline stability assessment data include: The water pump operation parameter data includes the speed fluctuation mean, amplitude mean and temperature fluctuation mean of the water pump; Inputting the speed fluctuation mean, amplitude mean and temperature fluctuation mean into a preset water supply pump health assessment model for processing to obtain water supply pump health data; The pipeline operation parameter data includes the mean value of water pressure fluctuation and the mean value of flow fluctuation within a preset range; The water pressure fluctuation mean value and the flow rate fluctuation mean value are input into a preset pipeline stability assessment model for processing to obtain pipeline stability assessment data.

[0044] It should be noted that the water pump and pipeline are important components of the secondary water supply system. First, the water pump operation parameter data including the speed fluctuation mean, amplitude mean and temperature fluctuation mean within a preset time period are obtained, wherein the speed fluctuation mean is obtained by averaging the absolute values ​​of the differences between multiple water pump speeds collected by the preset sensor within the preset time period and the preset standard speed, the amplitude mean is obtained by averaging the multiple water pump vibration amplitudes collected by the preset sensor within the preset time period, and the temperature fluctuation mean is obtained by averaging the absolute values ​​of the differences between multiple water pump real-time temperatures collected by the preset sensor within the preset time period and the preset standard temperature, and then calculating the average. The water supply pump health data is obtained by inputting it into a preset water supply pump health assessment model for processing, and then the pipeline operation parameter data including the water pressure fluctuation mean and the flow rate fluctuation mean within a preset time period and a preset range are obtained. The pipeline operation parameter data is input into a preset pipeline stability assessment model for processing to obtain the pipeline stability assessment data, wherein the water supply pump health assessment model is obtained by training by obtaining the speed fluctuation mean, amplitude mean and temperature fluctuation mean of a large number of historical samples and the corresponding water supply pump health data, and the pipeline stability assessment model is obtained by training by obtaining the water pressure fluctuation mean and flow rate fluctuation mean of a large number of historical samples and the corresponding pipeline stability assessment data.

[0045] According to an embodiment of the present invention, the water supply capacity detection data is obtained, and the operation status verification data of the secondary water supply system is obtained by processing the water supply pump health data and the pipeline stability assessment data in combination with the water supply capacity detection data, including: Obtain water supply capacity detection data, including the average water supply pressure fluctuation and the average water supply flow fluctuation at the water pump outlet within a preset time period, and the corresponding average pressure deviation and average flow deviation of the user node; Inputting the water supply pressure fluctuation mean, water supply flow fluctuation mean, pressure deviation mean and flow deviation mean into a preset water supply capacity evaluation model for processing to obtain water supply capacity detection data; The water supply pump health data, pipeline stability assessment data and water supply capacity detection data are input into a preset secondary water supply system operation status assessment model for processing to obtain the operation status verification data of the secondary water supply system.

[0046] It should be noted that the water supply stability of the water pump and the water use stability felt by the user reflect the water supply capacity of the secondary water supply system. In order to accurately evaluate the water supply capacity of the secondary water supply system, firstly, the mean value of the water supply pressure fluctuation and the mean value of the water supply flow fluctuation within the preset time period at the water outlet of the water pump and the corresponding mean pressure deviation and mean flow deviation of the user node are obtained. In this embodiment, the preset time period is set to 10 minutes, wherein the mean value of the water supply pressure fluctuation and the mean water supply flow fluctuation are obtained by collecting multiple values ​​within the preset time period by the sensor preset at the water outlet of the water pump, and then averaging the absolute value of the difference between the values ​​and the preset standard value. The pressure deviation mean and flow deviation mean of the user node are obtained by collecting multiple values ​​from the sensor preset at the user's home terminal within a preset time period, and then averaging the absolute values ​​of the differences between the values ​​and the preset standard values. The obtained water supply pressure fluctuation mean, water supply flow fluctuation mean, pressure deviation mean and flow deviation mean are input into the preset water supply capacity evaluation model for processing to obtain water supply capacity detection data, wherein the water supply capacity evaluation model is obtained by obtaining a large number of historical samples of water supply pressure fluctuation mean, water supply flow fluctuation mean, pressure deviation mean and flow deviation mean and corresponding water supply capacity detection data for training; The obtained water supply pump health data, pipeline stability assessment data and water supply capacity detection data are input into a preset secondary water supply system operation status assessment model for processing to obtain the operation status verification data of the secondary water supply system, wherein the secondary water supply system operation status assessment model is trained by acquiring a large number of historical samples of water supply pump health data, pipeline stability assessment data and water supply capacity detection and corresponding operation status verification data.

[0047] According to an embodiment of the present invention, the operation status verification data is compared with a preset water supply system status assessment threshold to obtain the operation status of the secondary water supply system, an early warning level and a corresponding notification strategy are obtained according to the operation status, and an early warning response is output through a preset notification method, including: Comparing the running state verification data with preset running state standard verification data to obtain a running state relative value; Performing a threshold comparison between the relative value of the operating status and a preset water supply system status assessment threshold; If it is less than or equal to the first preset water supply system status assessment threshold, the secondary water supply system operation status is abnormal; If it is an abnormal state, it corresponds to a high-risk level, and outputs a fault warning to the operation and maintenance personnel and the management terminal for response through the preset notification method; If it is greater than the first preset water supply system status assessment threshold and less than or equal to the second preset water supply system status assessment threshold, the secondary water supply system operation status is a suspected abnormal state; If it is a suspected abnormal state, it corresponds to a low-risk level, and outputs an operation and maintenance warning to the operation and maintenance personnel for response through the preset notification method; If it is greater than the second preset water supply system status assessment threshold, and the secondary water supply system is operating normally, no warning processing will be performed.

[0048] It should be noted that the obtained operation status verification data is compared with the preset operation status standard verification data to obtain the operation status relative value. For example, the obtained operation status verification data is 3, and the preset operation status standard verification data is 10, then 3 / 10=0.3 is the operation status relative value. The obtained operation status relative value is compared with the preset water supply system status assessment threshold. In this embodiment, the water supply system status assessment threshold is set to (0, 0.3], (0.3, 0.7], (0.7, 1], corresponding to abnormal state, suspected abnormal state, and normal state, respectively. For example, if the obtained operation status relative value is 0.3, it corresponds to an abnormal state, which corresponds to a high-risk level, and a fault warning is output to the operation and maintenance personnel and the management terminal for response through a preset notification method; if the obtained operation status relative value is 0.5, it corresponds to a suspected abnormal state, which corresponds to a low-risk level, and an operation and maintenance warning is output to the operation and maintenance personnel for response through a preset notification method; if the obtained operation status relative value is 0.8, no warning processing is performed for the normal state, wherein the preset notification method includes management platform display, SMS display, or voice call notification.

[0049] According to an embodiment of the present invention, it also includes: Obtaining water usage increment change information within a preset time period of the secondary water supply system, and extracting water usage increment data based on the water usage increment change information; Obtain the historical average water consumption of the secondary water supply system in the same period of time; Obtain water volume data and rated water replenishment volume data of water storage tanks; The water volume drop rate of the water tank is obtained by processing the water volume increment data, the water volume data of the water storage tank and the rated water replenishment volume data in combination with the historical water volume average; Comparing the water volume drop rate of the water storage tank with a preset water tank volume consumption rate threshold; If it is less than the preset water tank inventory consumption rate threshold, no processing will be performed; If it is greater than or equal to the preset water tank inventory consumption rate threshold, an insufficient water storage warning is output to the operation and maintenance personnel, and the backup pump water supply response is started.

[0050] It should be noted that when water users corresponding to the secondary water supply system have temporary incremental water demand, it is necessary to evaluate in advance whether the water supply is sufficient to avoid affecting the user's water experience. First, the incremental water use change information within the preset time period is obtained, and the incremental water use data is extracted based on the incremental water use change information. Then, the historical water consumption average of the same period of history is obtained, among which the water volume data of the water storage tank refers to the water storage volume corresponding to the start time of the preset time period, and the rated water replenishment volume data refers to the total water volume entering the water tank within the preset time period. The historical water consumption average is obtained by obtaining the water consumption of multiple historical same time periods and then calculating the average. Finally, the water volume data of the water storage tank and the rated water replenishment volume data are obtained, and the obtained incremental water use data, water volume data of the water storage tank and the rated water replenishment volume data are processed in combination with the historical water use average to obtain the water volume decline rate of the water storage tank; The calculation formula for the water volume drop rate of the water storage tank is: ; in, is the water volume drop rate in the water storage tank, , , , They are water consumption increment data, water volume data in water storage tanks, rated water replenishment data and historical water consumption average; The obtained water tank water level drop rate is compared with the preset water tank stock consumption rate threshold. In this embodiment, the water tank stock consumption rate threshold is set to (0, 0.4], (0.4, 1], corresponding to no processing and outputting insufficient water storage warning. For example, if the obtained water tank water level drop rate is 0.2, no processing is performed. If the obtained water tank water level drop rate is 0.5, an insufficient water storage warning is output to the operation and maintenance personnel, and the standby pump is started to supply water in response.

[0051] According to an embodiment of the present invention, it also includes: Obtain the real-time average temperature and real-time average humidity of the secondary water supply system pump room within a preset time period; The real-time temperature mean value and the real-time humidity mean value are compared with the preset standard temperature mean value and the standard humidity mean value respectively to obtain the real-time temperature deviation rate and the real-time humidity deviation rate; Inputting the real-time temperature deviation rate and the real-time humidity deviation rate into a preset environmental suitability assessment model for processing to obtain environmental deviation assessment data; Performing a threshold comparison between the environmental deviation evaluation data and a preset environmental deviation threshold; If it is less than or equal to the preset environmental deviation threshold, no processing will be performed; If it is greater than the preset environmental deviation threshold, an environmental imbalance warning is output to the operation and maintenance personnel, and the environmental treatment equipment response is started.

[0052] It should be noted that the pump room of the secondary water supply system is generally located on the first floor below ground or in a relatively closed environment. Appropriate temperature and humidity are important for the normal operation of the system. In order to ensure that the system works in a suitable temperature and humidity environment, it is necessary to monitor the operating environment in real time. First, the real-time temperature average and real-time humidity average within a preset time period of the pump room of the secondary water supply system are obtained. The real-time temperature average and real-time humidity average are obtained by averaging the detection values ​​obtained by multiple sensors pre-installed at different positions. The obtained real-time temperature average and real-time humidity average are compared with the preset standard temperature average and standard humidity average, respectively, to obtain the real-time temperature deviation rate and real-time humidity deviation rate; The calculation formulas for the real-time temperature deviation rate and the real-time humidity deviation rate are as follows: ; ; in, is the real-time temperature deviation rate, , are the real-time temperature mean and the standard temperature mean, is the real-time humidity deviation rate, , They are real-time humidity mean and standard humidity mean respectively; The obtained real-time temperature deviation rate and real-time humidity deviation rate are input into a preset environmental suitability assessment model for processing to obtain environmental deviation assessment data, wherein the environmental suitability assessment model is trained by obtaining a large number of historical samples of real-time temperature deviation rates and real-time humidity deviation rates and corresponding environmental deviation assessment data; The obtained environmental deviation evaluation data is compared with the preset environmental deviation threshold. In this embodiment, the environmental deviation threshold is set to (0, 0.35] and (0.35, 1], respectively corresponding to no processing and outputting environmental imbalance warning. For example, if the obtained environmental deviation evaluation data is 0.2, no processing is performed. If the obtained environmental deviation evaluation data is 0.4, an environmental imbalance warning is output to the operation and maintenance personnel, and the environmental processing equipment response is started. The environmental processing equipment includes air conditioners and dehumidifiers.

[0053] It is worth mentioning that according to an embodiment of the present invention, it also includes: Obtain water quality parameter data of the secondary water supply system, including turbidity data, total bacteria data, trihalomethane content data and residual chlorine content data; The turbidity data, total bacteria data, trihalomethane content data and residual chlorine content data are respectively compared with the corresponding preset water quality parameter standard data to obtain the turbidity deviation rate, total bacteria deviation rate, trihalomethane deviation rate and residual chlorine deviation rate; The turbidity deviation rate, the total bacteria deviation rate, the trihalomethane deviation rate and the residual chlorine deviation rate are input into a preset water quality inspection and evaluation model for processing to obtain water quality inspection data; Performing a threshold comparison between the water quality test data and a preset water quality test assessment threshold; If it is less than or equal to the first preset water quality inspection assessment threshold, no processing is performed; If it is greater than the first preset water quality inspection assessment threshold and less than or equal to the second preset water quality inspection assessment threshold, an early warning is output to the operation and maintenance personnel and the management terminal for response; If it is greater than the second preset water quality inspection assessment threshold, an early warning is output to the operation and maintenance personnel, the management terminal and the user end for response.

[0054] It should be noted that in the secondary water supply system, water quality is susceptible to changes due to various factors. In order to ensure the health of users' water, water quality parameter data including turbidity data, total bacteria data, trihalomethane content data and residual chlorine content data are first obtained, the obtained data are preprocessed, and values ​​less than the corresponding standard data are eliminated. Then, the data are compared with the corresponding preset water quality parameter standard data to obtain turbidity deviation rate, total bacteria deviation rate, trihalomethane deviation rate and residual chlorine deviation rate. The obtained turbidity deviation rate, total bacteria deviation rate, trihalomethane deviation rate and residual chlorine deviation rate are input into the preset water quality inspection and evaluation model for processing to obtain water quality verification data, wherein the water quality verification data is used to evaluate the deviation of real-time water quality from the standard. The water quality inspection and evaluation model is obtained by obtaining the turbidity deviation rate, total bacteria deviation rate, trihalomethane deviation rate and residual chlorine deviation rate of a large number of historical samples and the corresponding water quality verification data for training; The obtained water quality inspection data is compared with the preset water quality inspection assessment threshold. In this embodiment, the water quality inspection assessment threshold is set to (0, 0.3], (0.3, 0.5], (0.5, 1], corresponding to no processing, outputting an early warning to the operation and maintenance personnel and the management terminal for response, and outputting an early warning to the operation and maintenance personnel and the management terminal and the user end for response, respectively; for example, if the obtained water quality inspection data is 0.2, no processing is performed; if the obtained water quality inspection data is 0.4, an early warning is output to the operation and maintenance personnel and the management terminal for response; if the obtained water quality inspection data is 0.55, an early warning is output to the operation and maintenance personnel and the management terminal and the user end for response, reminding the user to suspend water use.

[0055] It is worth mentioning that according to an embodiment of the present invention, it also includes: Obtaining the primary water supply operation parameter data within a preset range of the secondary water supply system, including the primary water supply pressure fluctuation mean and the primary water supply flow fluctuation mean within a preset time period; Inputting the initial water supply pressure fluctuation mean value and the initial water supply flow fluctuation mean value into a preset water supply stability evaluation model for processing to obtain water supply stability evaluation data; Performing a threshold comparison between the water supply stability assessment data and a preset water supply stability detection threshold; If it is less than or equal to the preset water supply stability detection threshold, no processing will be performed; If it is greater than the preset water supply stability detection threshold, an early warning is output to the operation and maintenance personnel, and the water pump shutdown response is activated.

[0056] It should be noted that the water supply on the secondary water supply inlet side is crucial to the stable operation of the system, especially the operation of the water pump. Therefore, accurate monitoring and evaluation should be carried out. First, the initial water supply operation parameter data including the initial water supply pressure fluctuation mean and the initial water supply flow fluctuation mean within a preset time period are obtained. Among them, the initial water supply pressure fluctuation mean and the initial water supply flow fluctuation mean refer to the absolute values ​​of the differences between multiple initial water supply pressure values ​​and initial water supply flow values ​​obtained by preset sensors and the corresponding standard values, and then averaged. The initial water supply pressure fluctuation mean and the initial water supply flow fluctuation mean are input into the preset water supply stability evaluation model for processing to obtain water supply stability evaluation data, among which the water supply stability evaluation The model is obtained by training a large number of historical samples of the initial water supply pressure fluctuation mean and the initial water supply flow fluctuation mean and the corresponding water supply stability assessment data; the obtained water supply stability assessment data is compared with the preset water supply stability detection threshold. In this embodiment, the water supply stability detection threshold is set to (0, 0.2], (0.2, 1], corresponding to no processing, outputting an early warning to the operation and maintenance personnel, and activating a water pump shutdown response; for example, if the obtained water supply stability assessment data is 0.15, no processing is performed. If the obtained water supply stability assessment data is 0.25, an early warning is output to the operation and maintenance personnel, and the water pump is activated to shut down to prevent damage to the water pump due to pressure loss and unstable flow.

[0057] It is worth mentioning that according to an embodiment of the present invention, it also includes: Obtain the average fluctuation value, response time value and signal strength value of the sensor within a preset time period of the secondary water supply system; Inputting the monitoring value fluctuation mean, response time mean and signal strength mean into a preset sensor reliability assessment model for processing to obtain reliability assessment data corresponding to the sensor; Performing a threshold comparison between the reliability evaluation data and a preset sensor effectiveness threshold; If it is greater than the preset sensor effectiveness threshold, no processing will be performed; If it is less than or equal to the preset sensor effectiveness threshold, a sensor effectiveness warning is output to the operation and maintenance personnel for response.

[0058] It should be noted that in the secondary water supply system, the control system is particularly important, and the control system relies on a large number of sensors to collect real-time data. The reliability of the sensors needs to be paid special attention to. Therefore, firstly, the monitoring value fluctuation mean, response time mean and signal strength mean of the sensors in the preset time period of the secondary water supply system are obtained, wherein the monitoring value fluctuation mean refers to the absolute value of the difference between multiple real-time monitoring values ​​of the sensor and the preset standard value in the preset time period, and then the average is obtained. The obtained monitoring value fluctuation mean, response time mean and signal strength mean are input into the preset sensor reliability evaluation model for processing to obtain the corresponding reliability evaluation data of the sensor, wherein the sensor reliability The reliability assessment model is obtained by training with the monitoring value fluctuation mean, response time mean and signal strength mean of a large number of historical samples and the corresponding reliability assessment data; the obtained reliability assessment data is compared with the preset sensor effectiveness threshold. In this embodiment, the sensor effectiveness threshold is set to (0, 0.4], (0.4, 1], corresponding to no processing and outputting sensor effectiveness warning to the operation and maintenance personnel for response, respectively. For example, if the obtained reliability assessment data is 0.3, no processing is performed. If the obtained reliability assessment data is 0.5, a sensor effectiveness warning is output to the operation and maintenance personnel for response, so as to detect whether the sensor is abnormal and prevent the collection of erroneous data.

[0059] It is worth mentioning that according to an embodiment of the present invention, it also includes: Get the duration data of unprocessed warning information; Performing a threshold comparison between the duration data and a preset duration threshold; If it is less than or equal to the preset duration threshold, no processing will be performed; If it is greater than the preset time threshold, an early warning message will be output to higher-level operation and maintenance personnel for response.

[0060] It should be noted that when a fault occurs in the secondary water supply system and an early warning message is output, if the operation and maintenance personnel fail to handle it in time, it may cause a more serious accident. Therefore, it is necessary to follow up on the early warning processing in time. First, the duration data of the unprocessed early warning message is obtained and compared with the preset duration threshold. In this embodiment, the duration threshold is set to 10 minutes, and the duration threshold is adjusted according to the specific early warning situation. For example, if the acquired duration data is less than 5 minutes, no processing is performed. If the acquired duration data is less than 11 minutes, the early warning message is output to a higher-level operation and maintenance personnel for response to ensure that the early warning information is processed in a timely manner.

[0061] A third aspect of the present invention provides a readable storage medium, which stores a secondary water supply system intelligent early warning and notification method program. When the secondary water supply system intelligent early warning and notification method program is executed by a processor, the steps of the secondary water supply system intelligent early warning and notification method as described in any one of the above items are implemented.

[0062] The present invention discloses an intelligent early warning and notification method, system and medium for a secondary water supply system, which improves the intelligence of early warning and notification by comparing the calculation of water supply pump health data, pipeline stability assessment data and water supply capacity detection data with threshold values.

[0063] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0064] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0065] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0066] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0067] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. An intelligent early warning and notification method for a secondary water supply system, characterized in that: The following steps are involved: Obtaining water pump operating parameter data and pipeline operating parameter data within a preset time period of the secondary water supply system; Processing the water pump operating parameter data to obtain water supply pump health data, and processing the pipeline operating parameter data to obtain pipeline stability assessment data; Acquire water supply capacity detection data, and process the water supply pump health data and pipeline stability assessment data in combination with the water supply capacity detection data to obtain operation status verification data of the secondary water supply system; The operating status verification data is compared with the preset water supply system status assessment threshold to obtain the operating status of the secondary water supply system, obtain the warning level and the corresponding notification strategy according to the operating status, and output the warning response through the preset notification method.

2. The intelligent early warning and notification method for secondary water supply system according to claim 1 is characterized in that: The processing according to the water pump operation parameter data to obtain the water supply pump health data, and the processing according to the pipeline operation parameter data to obtain the pipeline stability evaluation data, include: The water pump operation parameter data includes the speed fluctuation mean, amplitude mean and temperature fluctuation mean of the water pump; Inputting the speed fluctuation mean, amplitude mean and temperature fluctuation mean into a preset water supply pump health assessment model for processing to obtain water supply pump health data; The pipeline operation parameter data includes the mean value of water pressure fluctuation and the mean value of flow fluctuation within a preset range; The water pressure fluctuation mean value and the flow rate fluctuation mean value are input into a preset pipeline stability assessment model for processing to obtain pipeline stability assessment data.

3. The intelligent early warning and notification method for secondary water supply system according to claim 2 is characterized in that: The water supply capacity detection data is obtained, and the operation status verification data of the secondary water supply system is obtained by processing the water supply pump health data and the pipeline stability assessment data in combination with the water supply capacity detection data, including: Obtain water supply capacity detection data, including the average water supply pressure fluctuation and the average water supply flow fluctuation at the water pump outlet within a preset time period, and the corresponding average pressure deviation and average flow deviation of the user node; Inputting the water supply pressure fluctuation mean, water supply flow fluctuation mean, pressure deviation mean and flow deviation mean into a preset water supply capacity evaluation model for processing to obtain water supply capacity detection data; The water supply pump health data, pipeline stability assessment data and water supply capacity detection data are input into a preset secondary water supply system operation status assessment model for processing to obtain the operation status verification data of the secondary water supply system.

4. The intelligent early warning and notification method for secondary water supply system according to claim 3 is characterized in that: The operation status verification data is compared with a preset water supply system status assessment threshold to obtain the operation status of the secondary water supply system, obtain the warning level and the corresponding notification strategy according to the operation status, and output the warning response through the preset notification method, including: Comparing the running state verification data with preset running state standard verification data to obtain a running state relative value; Performing a threshold comparison between the relative value of the operating status and a preset water supply system status assessment threshold; If it is less than or equal to the first preset water supply system status assessment threshold, the secondary water supply system operation status is abnormal; If it is an abnormal state, it corresponds to a high-risk level, and outputs a fault warning to the operation and maintenance personnel and the management terminal for response through the preset notification method; If it is greater than the first preset water supply system status assessment threshold and less than or equal to the second preset water supply system status assessment threshold, the secondary water supply system operation status is a suspected abnormal state; If it is a suspected abnormal state, it corresponds to a low-risk level, and outputs an operation and maintenance warning to the operation and maintenance personnel for response through the preset notification method; If it is greater than the second preset water supply system status assessment threshold, and the secondary water supply system is operating normally, no warning processing will be performed.

5. The intelligent early warning and notification method for secondary water supply system according to claim 4, characterized in that: Also includes: Obtaining water usage increment change information within a preset time period of the secondary water supply system, and extracting water usage increment data based on the water usage increment change information; Obtain the historical average water consumption of the secondary water supply system in the same period of time; Obtain water volume data and rated water replenishment volume data of water storage tanks; The water volume drop rate of the water tank is obtained by processing the water volume increment data, the water volume data of the water storage tank and the rated water replenishment volume data in combination with the historical water volume average; Comparing the water volume drop rate of the water storage tank with a preset water tank volume consumption rate threshold; If it is less than the preset water tank inventory consumption rate threshold, no processing will be performed; If it is greater than or equal to the preset water tank inventory consumption rate threshold, an insufficient water storage warning is output to the operation and maintenance personnel, and the backup pump water supply response is started.

6. The intelligent early warning and notification method for secondary water supply system according to claim 5, characterized in that: Also includes: Obtain the real-time average temperature and real-time average humidity of the secondary water supply system pump room within a preset time period; The real-time temperature mean value and the real-time humidity mean value are compared with the preset standard temperature mean value and the standard humidity mean value respectively to obtain the real-time temperature deviation rate and the real-time humidity deviation rate; Inputting the real-time temperature deviation rate and the real-time humidity deviation rate into a preset environmental suitability assessment model for processing to obtain environmental deviation assessment data; Performing a threshold comparison between the environmental deviation evaluation data and a preset environmental deviation threshold; If it is less than or equal to the preset environmental deviation threshold, no processing will be performed; If it is greater than the preset environmental deviation threshold, an environmental imbalance warning is output to the operation and maintenance personnel, and the environmental treatment equipment response is started.

7. An intelligent early warning and notification system for a secondary water supply system, characterized in that: The system comprises a memory and a processor, wherein the memory comprises a program of an intelligent early warning and notification method for a secondary water supply system, and when the program of the intelligent early warning and notification method for a secondary water supply system is executed by the processor, the following steps are implemented: Obtaining water pump operating parameter data and pipeline operating parameter data within a preset time period of the secondary water supply system; Processing the water pump operating parameter data to obtain water supply pump health data, and processing the pipeline operating parameter data to obtain pipeline stability assessment data; Acquire water supply capacity detection data, and process the water supply pump health data and pipeline stability assessment data in combination with the water supply capacity detection data to obtain operation status verification data of the secondary water supply system; The operating status verification data is compared with the preset water supply system status assessment threshold to obtain the operating status of the secondary water supply system, obtain the warning level and the corresponding notification strategy according to the operating status, and output the warning response through the preset notification method.

8. The intelligent early warning and notification system for secondary water supply system according to claim 7, characterized in that: The processing according to the water pump operation parameter data to obtain the water supply pump health data, and the processing according to the pipeline operation parameter data to obtain the pipeline stability evaluation data, include: The water pump operation parameter data includes the speed fluctuation mean, amplitude mean and temperature fluctuation mean of the water pump; Inputting the speed fluctuation mean, amplitude mean and temperature fluctuation mean into a preset water supply pump health assessment model for processing to obtain water supply pump health data; The pipeline operation parameter data includes the mean value of water pressure fluctuation and the mean value of flow fluctuation within a preset range; The water pressure fluctuation mean value and the flow rate fluctuation mean value are input into a preset pipeline stability assessment model for processing to obtain pipeline stability assessment data.

9. The intelligent early warning and notification system for secondary water supply system according to claim 8, characterized in that: The water supply capacity detection data is obtained, and the operation status verification data of the secondary water supply system is obtained by processing the water supply pump health data and the pipeline stability assessment data in combination with the water supply capacity detection data, including: Obtain water supply capacity detection data, including the average water supply pressure fluctuation and the average water supply flow fluctuation at the water pump outlet within a preset time period, and the corresponding average pressure deviation and average flow deviation of the user node; Inputting the water supply pressure fluctuation mean, water supply flow fluctuation mean, pressure deviation mean and flow deviation mean into a preset water supply capacity evaluation model for processing to obtain water supply capacity detection data; The water supply pump health data, pipeline stability assessment data and water supply capacity detection data are input into a preset secondary water supply system operation status assessment model for processing to obtain the operation status verification data of the secondary water supply system.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a secondary water supply system intelligent early warning and notification method program. When the secondary water supply system intelligent early warning and notification method program is executed by the processor, the steps of the secondary water supply system intelligent early warning and notification method as described in any one of claims 1 to 6 are implemented.

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